Demand forecasting remains one of the most complex challenges in retail management. As consumer behavior evolves rapidly, ...

According to the analysis, deep learning architectures such as Long Short-Term Memory (LSTM) networks and hybrid CNN-LSTM ...

In a recent study published in Scientific Reports, researchers developed and trained an artificial intelligence (AI) deep learning model to predict the number of COVID-19 cases 14 days into the future ...

Using time-series data collected across two growing seasons, the study accurately reconstructed canopy growth trajectories and identified key ...

A comprehensive framework integrates statistical modeling, machine learning, and simulation to optimize urban traffic forecasting, capacity ...